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Conference paper
An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data
Auto-encoder as the representative method for data dimensionality reduction and feature extraction, plays a very important role on machine learning. However, the data in the actual research work or industrial production are not always normalized …
Prioritized Sampling Method for Autoencoder to Reduce Loss Rate for Skewed Data
A Research About Anomaly Detection Method for Multidimensional Time Series Data
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